Statistical Issues in AIDS Research

艾滋病研究中的统计问题

• 批准号: 7796792
• 负责人: JAMES P HUGHES
• 金额: $ 51.74万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 1989
• 资助国家: 美国
• 起止时间: 1989-09-30 至 2014-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7796792
• 关键词: AIDS/HIV problem; Acquired Immunodeficiency Syndrome; Address; Algorithms; Antibodies; Binding; Biological Assay; Collaborations; Communities; Complex; Computing Methodologies; Cross-Over Studies; Data; Data Analyses; Development Plans; Epidemic; Epitope Mapping; Funding; Genetic Determinism; Grant; HIV; HIV Antigens; HIV Infections; HIV vaccine; Immune response; Individual; Infection; Institution; Maps; Measurement; Methods; Phase; Publications; Randomized; Research; Research Design; Research Personnel; Risk; Sampling; Staining method; Stains; Statistical Methods; T-Lymphocyte; Testing; Time; Vaccines; Vertical Disease Transmission; Work; base; cytokine; design; immunogenicity; novel; prevent; public health relevance; randomized trial; virus genetics

DESCRIPTION (provided by applicant): Twenty five years after identification of the HIV virus, the AIDS epidemic continues with an estimated 33 million individuals currently infected worldwide and 2.5 million new infections each year. Research to prevent and treat HIV infection has grown increasing sophisticated and the analytic challenges have become correspondingly complex. In this application we outline plans for the development of statistical methods that will be directly applicable to current problems in the field of HIV/AIDS research. In particular, we propose to develop methods for the analysis of data from stepped wedge randomized trials, trials to prevent mother to child transmission of HIV, discordant partner studies, and trials or studies which utilize two-phase or other complex sampling designs. Since HIV infection is typically asymptomatic and the time of infection is bounded by two test dates, we continue work on methods for interval censored data and focus on issues related to competing risks and correlated interval censored data. Finally, as the search for an effective HIV vaccine presents ever greater challenges, we propose to develop novel statistical methods for analyzing data from studies of T-cell based vaccines as well as HIV antigen-antibody interactions. PUBLIC HEALTH RELEVANCE: This research will develop statistical methods for use in studies of HIV infection.

描述（由申请人提供）：在发现HIV病毒25年后，艾滋病的流行仍在继续，目前全球估计有3300万人感染，每年有250万新感染者。预防和治疗艾滋病毒感染的研究变得越来越复杂，分析挑战也变得相应复杂。在本申请中，我们概述了统计方法的发展计划，这些方法将直接适用于艾滋病毒/艾滋病研究领域的当前问题。特别是，我们建议开发用于分析阶梯楔形随机试验、预防艾滋病毒母婴传播试验、不一致伴侣研究以及利用两阶段或其他复杂抽样设计的试验或研究的数据的方法。由于艾滋病毒感染通常是无症状的，感染的时间是有界的两个测试日期，我们继续研究区间删失数据的方法，并专注于竞争风险和相关的区间删失数据相关的问题。最后，由于寻找有效的HIV疫苗提出了更大的挑战，我们建议开发新的统计方法来分析基于T细胞的疫苗以及HIV抗原-抗体相互作用研究的数据。公共卫生相关性：这项研究将开发用于艾滋病毒感染研究的统计方法。